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Volumn , Issue , 2001, Pages

The unscented particle filter

Author keywords

[No Author keywords available]

Indexed keywords

MONTE CARLO METHODS; TARGET TRACKING;

EID: 0141714747     PISSN: 10495258     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (326)

References (12)
  • 2
    • 4243967544 scopus 로고    scopus 로고
    • Convergence of generalized particle filters
    • Cambridge University Engineering Department
    • Crisan, D. and Doucet, A. (2000). Convergence of generalized particle filters, Technical Report CUED/F-INFENG/TR 381, Cambridge University Engineering Department.
    • (2000) Technical Report CUED/F-INFENG/TR 381
    • Crisan, D.1    Doucet, A.2
  • 3
    • 0003862815 scopus 로고    scopus 로고
    • PhD thesis, Department of Engineering, Cambridge University, Cambridge, UK
    • de Freitas, J. F. G. (1999). Bayesian Methods for Neural Networks, PhD thesis, Department of Engineering, Cambridge University, Cambridge, UK.
    • (1999) Bayesian Methods for Neural Networks
    • De Freitas, J.F.G.1
  • 4
    • 0000979403 scopus 로고    scopus 로고
    • Sequential Monte Carlo methods to train neural network models
    • de Freitas, J. F. G., Niranjan, M., Gee, A. H. and Doucet, A. (2000). Sequential Monte Carlo methods to train neural network models, Neural Computation 12(4): 955-993.
    • (2000) Neural Computation , vol.12 , Issue.4 , pp. 955-993
    • De Freitas, J.F.G.1    Niranjan, M.2    Gee, A.H.3    Doucet, A.4
  • 6
    • 0001460136 scopus 로고    scopus 로고
    • On sequential Monte Carlo sampling methods for Bayesian filtering
    • Doucet, A., Godsill, S. and Andrieu, C. (2000). On sequential Monte Carlo sampling methods for Bayesian filtering, Statistics and Computing 10(3): 197-208.
    • (2000) Statistics and Computing , vol.10 , Issue.3 , pp. 197-208
    • Doucet, A.1    Godsill, S.2    Andrieu, C.3
  • 8
    • 0027580559 scopus 로고
    • Novel approach to nonlinear/non-Gaussian Bayesian state estimation
    • Gordon, N. J., Salmond, D. J. and Smith, A. F. M. (1993). Novel approach to nonlinear/non-Gaussian Bayesian state estimation, IEE Proceedings-F 140(2): 107-113.
    • (1993) IEE Proceedings-F , vol.140 , Issue.2 , pp. 107-113
    • Gordon, N.J.1    Salmond, D.J.2    Smith, A.F.M.3
  • 11
    • 84898978676 scopus 로고    scopus 로고
    • Monte Carlo POMDPs
    • S. Solla, T. Leen and K.-R. Müller (eds) MIT Press
    • Thrun, S. (2000). Monte Carlo POMDPs, in S. Solla, T. Leen and K.-R. Müller (eds), Advances in Neural Information Processing Systems 12, MIT Press, pp. 1064-1070.
    • (2000) Advances in Neural Information Processing Systems , vol.12 , pp. 1064-1070
    • Thrun, S.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.